Teams

BENICIA TA/BENICIA HS 40MX8.0A

2024 MIXED 40&Over · 40&Over MX8.0

24 players · average NTRP 3.89 / NO. CALIFORNIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →

Flight standings for 40&Over MX8.0 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.71 estimated across 18 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

4.17
4.15
Jamille Lee
published 4.5
4.04
Maribel Barajas
published
3.99
Vikram Kadi
published
3.89
Nancy Wilson
published
3.86
Flor Salinas
published 4
3.85
Jonathan Warner
published
3.79
Ariane Sanders
published 4
3.77
Maxwell Njelita
published
Guillermo Reyes
published 4
3.67
Jennifer Grant
published
3.62
Rommel Bautista
published
3.59
JoAnn Clark
published
3.52
Nancy Selph
published
3.47
Jeff Dalton
published
3.44
Sujit Chakravorti
published
3.44
Diana Babayan
published 3.5
3.30
Elizabeth Tong
published 3.5
3.28
Courtney Bock
published 3.5
Dean Allen
published 3.5
John Ard
published
Marie Anne Tabtab
published
Ray Ramos
published
Ronald Tabtab
published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

JoAnn Clark + Jonathan Warner123 matchesnot enough data
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

4.5
Frederick Crescencio
16W–9L career · no lines in 2024
9%90%1%
4.17
4.5
Jamille Lee
17W–7L career · no lines in 2024
12%87%<1%
4.15
Maribel Barajas
7W–4L career · no lines in 2024
<1%37%63%
4.04
Vikram Kadi
13W–17L career · no lines in 2024
53%47%<1%
3.99
Nancy Wilson
19W–27L career · no lines in 2024
81%19%<1%
3.89
4
Flor Salinas
10W–11L career · no lines in 2024
<1%86%14%
3.86
Jonathan Warner
22W–5L career · no lines in 2024
<1%88%12%
3.85
4
Ariane Sanders
12W–18L career · no lines in 2024
1%94%5%
3.79
Maxwell Njelita
13W–6L career · no lines in 2024
2%94%4%
3.77
4
Guillermo Reyes
2W–0L career · no lines in 2024
not enough data
Jennifer Grant
14W–13L career · no lines in 2024
10%89%<1%
3.67
Rommel Bautista
9W–9L career · no lines in 2024
18%82%<1%
3.62
JoAnn Clark
14W–10L career · no lines in 2024
25%75%<1%
3.59
Nancy Selph
2W–7L career · no lines in 2024
44%56%<1%
3.52
Jeff Dalton
12W–7L career · no lines in 2024
60%40%<1%
3.47
Sujit Chakravorti
9W–15L career · no lines in 2024
67%33%<1%
3.44
3.5
Diana Babayan
26W–21L career · no lines in 2024
<1%68%32%
3.44
3.5
Elizabeth Tong
19W–9L career · no lines in 2024
1%93%6%
3.30
3.5
Courtney Bock
23W–22L career · no lines in 2024
2%94%4%
3.28
3.5
Dean Allen
0W–1L career · no lines in 2024
not enough data
John Ard
2W–7L career · no lines in 2024
not enough data
Marie Anne Tabtab
2W–2L career · no lines in 2024
not enough data
Ray Ramos
1W–0L career · no lines in 2024
not enough data
Ronald Tabtab
4W–7L career · no lines in 2024
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.